New algorithm unlocks high-resolution insights for computer vision
FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
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FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.
Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.
The MIT seniors will pursue graduate studies at Cambridge University.
The MIT senior will pursue graduate studies in technology policy at Cambridge University.
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.